Data Scientist

Gamma Phi Omega International; Princeton (NJ); Hybrid; USD 81,000 - 158,000; Full time

Job summary

Mphasis Corporation in Princeton, NJ is seeking a Data Scientist focused on regression analysis to analyze data drift, identify root causes, and support defect remediation. You will build and validate regression models, perform statistical testing, and create dashboards to monitor drift.

Ideal candidates will have strong statistics knowledge, Python/SQL expertise, experience with big data tools, and the ability to communicate findings to stakeholders.

Qualifications

• Strong knowledge of regression analysis and statistics.
• Experience with Python, SQL, Big Data, Hadoop, and data visualization tools.
• Machine learning experience is a plus.
• Ability to analyze large datasets and identify patterns.
• Experience with root cause analysis and anomaly detection.

Responsibilities

• Build and validate regression models to explain data drift and variances.
• Analyze mismatches between expected and actual results.
• Identify root causes of defects and data quality issues.
• Create dashboards, heat maps, and visualizations to monitor drift.
• Develop predictive models to detect issues early.
• Partner with business, QA, and development teams to prioritize fixes.
• Present findings and recommendations to stakeholders.

Skills

Regression analysis

Statistics

Python

SQL

Big Data

Data visualization

Dashboarding

Anomaly detection

Education

Bachelor's degree in a quantitative field

Tools

Hadoop

Spark

Snowflake

Tableau

Power BI

Databricks

Job description

# Data ScientistMphasis CorporationPrinceton, NJOct 06, 2026Information Technology## Job DescriptionData Scientist – Regression AnalysisRole SummaryAnalyze data to identify trends, detect variances, explain root causes, and support defect remediationusing statistical and regression analysis.Key Responsibilities• Build and validate regression models to explain data drift and variances.• Analyze mismatches between expected and actual results.• Identify root causes of defects and data quality issues.• Perform statistical testing and trend analysis.• Create dashboards, heat maps, and visualizations to monitor drift.• Develop predictive models to detect issues early.• Partner with business, QA, and development teams to prioritize fixes.• Present findings and recommendations to stakeholders.Required Skills• Strong knowledge of regression analysis and statistics.• Experience with Python, SQL, Big Data, Hadoop, and data visualization tools. Machinelearning experience is a plus.• Ability to analyze large datasets and identify patterns.• Experience with root cause analysis and anomaly detection.• Strong communication and problem - solving skills.Preferred Experience• Financial services or payments experience.• Data reconciliation and validation.• Drift monitoring and predictive analytics.• Power BI, Tableau, Spark, Snowflake, or DatabricSuccess Measures• Faster defect diagnosis.• Earlier detection of drift.• Improved validation accuracy.• Reduced manual analysis effort.Ideal Candidate:A data scientist who can use regression analysis, statistical modeling, and data visualization to detectOther detailsSalary range $80500 to $157500